Building an AI Chief of Staff: Ambient by Lawrence Coburn

What is the founding story behind Ambient?

Lawrence was the CEO of Double Dutch during its rocket-ship phase - 93 million raised, offices worldwide, on a plane two out of every three days. His board saw him drowning and recommended he hire a chief of staff. He didn't know what that was. He brought in Matt, who had been at HBS and Bain, and the experience was transformative: better-prepared pitches, clearer positioning, dramatically more bandwidth. In the age of AI, Lawrence decided to build the version of that for the 4.2 million companies that don't have a chief of staff and probably should.

What is the difference between an executive assistant and a chief of staff?

The primary tell is timeframe. EAs are focused on the day-to-day: calendar management, inbox, scheduling, sometimes week-ahead prep. Chiefs of staff operate on a longer horizon - M&A, VC pitch preparation, data rooms, strategic planning. Lawrence's two diagnostic questions: does this person run your strategic planning process, and do they create the agenda for your executive staff meetings? If the answer to both is no, you have an EA with a chief of staff title, not a true chief of staff. Both roles benefit enormously from full context access - that's the common thread with AI agents.

What is the 1.8x throughput target and where does the ceiling come from?

Lawrence's experience with his own chief of staff Matt gave him roughly 80% more effective bandwidth - essentially 1.8x his solo output. That is the ceiling Ambient is targeting for AI. It is lower than what engineers can achieve (Lawrence's CTO reports 5x using Cursor) because CEO work is less repeatable and involves relationship judgment and institutional knowledge that resists automation. But 1.8x is not just time - it includes better-quality decisions made with full context, which Lawrence argues is worth as much as the time recovered.

Why does Lawrence deliver Ambient's intelligence via email instead of a dashboard?

Because senior CEOs do not learn new tools. At early-stage companies, founders are builders who will try anything. At later-stage companies, the CEO is in their inbox, in Google Docs, maybe occasionally in the CRM. They are not on Product Hunt. Ambient's philosophy is that AI intelligence has to meet the CEO where they already are - if you require them to log into a new tool, you've already lost. The daily briefing delivered to the inbox is a product design decision, not a technical compromise. Push, not pull.

How does Ambient's fundraising mode work in practice?

An AI qualifier agent reads every calendar event and classifies the meeting type. When it detects a VC, it triggers special treatment: the briefing dossier is restructured to prioritize icebreakers and personal connections (Lawrence discovered his investor was an America's Cup sailor - his co-founder competes in the same sport), similar portfolio investments, the investor's publicly stated thesis, any red flags or founder disputes, and mutual connections. Lawrence's rule: in a 30-minute pitch, you have about 180 seconds to make a personal connection. The briefing controls everything you can control.

What are Lawrence's two tells for identifying a true chief of staff?

First: do they run the strategic planning process? Second: do they create the agenda for the executive staff meeting? If the answer to both is no - if someone else owns strategic planning, or if the chief of staff is just taking notes - then regardless of the title, the role is more EA than chief of staff. Lawrence uses these questions when interviewing candidates and when evaluating whether a company genuinely has chief of staff capability or just the title.

What surprised Lawrence most from interviewing 400 chiefs of staff?

The scale of talent combined with the absence of ego. He met a chief of staff at a major Walgreens division whose previous role was running a $10 billion organization. These are people who could be running their own companies. But the best chiefs of staff have completely removed themselves from the equation: their name is not in the press release, they have no budget or headcount to lobby for, and their only metric of success is the success of their principal and the company. Lawrence calls it one of the purest roles in business.

Why does Lawrence believe senior EAs and chiefs of staff will be the last people standing in the AI economy?

Because they can flex up. Every time a lower-skill task gets automated - note-taking, scheduling, inbox management - a talented chief of staff or EA moves to a higher-value task. If you take everything away, they are still the trusted person in the foxhole with the executive: the one who has context no system has, the one who can exercise judgment no model has. Lawrence went public with this view because he thinks the conventional wisdom about AI displacing these roles is wrong - adaptable generalists with deep executive access are exactly the profile that is hardest to replace.

What is Lawrence's take on the current San Francisco energy and the AI wave?

He says it's back - and not in a subtle way. Real estate in his Mission district neighborhood is moving fast (a house listed at $1.8M sold for $3.2M). People who moved to Miami during the pandemic have returned. Anyone working on AI is flocking to the city. Lawrence has been through the internet wave, the mobile wave, and the social wave. His assessment of this one: it is the big one. The accessibility is what makes it different - 800 million ChatGPT users means the software reached everyone, not just technologists. And the production side, English as a programming language, means anyone can now build what was previously only possible for engineering teams.